Personalized Bone Prosthesis Registration via Statistical Model
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Solution Overview
Problem
The design of personalized prosthesis implants for damaged bones is a time-consuming process due to the need for customized anatomical morphology and mechanical property matching, which existing methods fail to efficiently address, especially in utilizing CT images for statistical modeling and registration.
Innovation Solution
A personalized registration method for a template library of anatomical morphology and mechanical properties of bone CT images is developed, involving the creation of a statistical model through shape and gray modeling using image registration, deformation fields, and parameterized representation to match patient-specific images with template images, facilitating the design of personalized prosthesis implants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If personalized prosthesis implants are designed by manually matching patient CT images with template library, then anatomical morphology and mechanical properties can be matched, but the design process becomes time-consuming and tedious
Solution Approach 1:
The patent transforms the complex image matching problem into a parameter optimization problem by defining an objective function that quantifies the similarity between patient CT images and template library images. The registration parameters (translation, rotation, scaling) are optimized to maximize this similarity metric, enabling automated and precise matching without manual intervention.
Solution Approach 2:
The patent replaces the manual mechanical matching process with an automated computational system. The objective function acts as a digital criterion that automatically evaluates and compares anatomical features, substituting the need for manual visual inspection and adjustment while maintaining or improving matching precision.
2Manufacturing precision
If a template library with detailed anatomical morphology and mechanical properties is built, then personalized prosthesis design accuracy is improved, but the complexity of building and managing the library increases
Solution Approach 1:
The patent segments the complex template library into organized categories based on anatomical regions, bone types, and mechanical property classes. This segmentation allows the library to manage detailed information systematically, making it easier to build, maintain, and query without being overwhelmed by complexity.
Solution Approach 2:
The patent represents complex anatomical and mechanical data in the template library using standardized parameter sets. By transforming detailed 3D images and material properties into quantifiable parameters, the system maintains high design accuracy while simplifying the internal structure and management of the template library.
3Measurement precision
If image registration is performed to obtain deformation fields for shape modeling, then anatomical morphology accuracy is improved, but the computational processing time and complexity increase
Solution Approach 1:
The patent applies partial action by focusing image registration and deformation field computation only on the specific bone regions of interest rather than processing the entire CT volume. This selective approach maintains anatomical morphology accuracy for the relevant areas while reducing overall computational complexity and processing requirements.
Data Source
AI summary
The present invention provides a personalized registration method for a template library of anatomical morphology and mechanical properties of materials of bone CT images. In the method, a large number of bone CT images of healthy persons are used to build a statistical model capable of containing anatomical morphology and mechanical properties of materials of bones, the parameterized description of bones of a patient is realized by a personalized registration method for the statistical model and bone CT images, a prosthesis template library is built by using images of the patient and registration parameters, and the template library is matched with the CT images of the patient by the personalized registration method to retrieve template images and prosthesis models similar to the bone conditions of the patient from the template library as the initial reference template for design of personalized prosthesis implants.